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Senior Manager, GPU and AI Architecture

Key Facts

Remote From: 
Full time
Senior (5-10 years)
272 - 272K yearly
English

Other Skills

  • Team Management
  • Social Skills
  • Collaboration
  • Leadership

Roles & Responsibilities

  • MS or PhD in Computer Science, Electrical Engineering, or related fields.
  • At least 10 years of industry experience with 4+ years in management.
  • Proven expertise in GPU and AI accelerator architectures.
  • Deep knowledge of deep learning and AI workloads.

Requirements:

  • Analyze and anticipate AI training workloads to guide hardware development.
  • Develop performance models and simulation environments for GPU designs.
  • Collaborate with cross-functional teams on hardware, software, and system innovations.
  • Lead and mentor a high-performance engineering team.

Job description

We are now looking for a Senior Manager, for GPU and AI Architecture!

NVIDIA is seeking an experienced and innovative leader in GPU and AI architecture and systems performance to manage, mentor, and grow a world-class engineering team. You will play a pivotal role in shaping NVIDIA's next-generation AI training platforms, spanning advanced GPUs, innovative systems, and cutting-edge software stacks. If you thrive managing agile teams tackling the challenges of designing future-oriented AI platforms in a rapidly evolving landscape, we want to hear from you.

What You Will Be Doing:

  • Analyze and anticipate leading-edge AI training workloads on future GPU architectures to guide strategic decisions on NVIDIA’s AI accelerator roadmap.

  • Drive the development and refinement of sophisticated performance models, simulation environments, and infrastructure critical for future GPU designs.

  • Collaborate closely with cross-functional teams across hardware design, architecture, software, and product management, providing deep AI training expertise.

  • Propose, evaluate, and advocate for groundbreaking hardware, system, and software innovations aimed at significantly enhancing AI training performance and efficiency.

  • Lead and scale a high-performance team of engineers, overseeing their career growth, performance management, recruitment, strategic goal-setting, and project delivery.

What We Want To See:

  • An MS or PhD (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or related fields, with 4+ years of relevant management experience and at least 10 years of total industry experience.

  • Proven expertise in GPU and AI accelerator architectures, with a robust understanding of hardware-software interactions.

  • Deep knowledge and hands-on experience with deep learning and AI, particularly in the context of large-scale AI training workloads.

  • Solid track record in performance analysis, including familiarity with profiling tools and methodologies for evaluating complex AI systems.

  • Demonstrated success in managing and expanding impactful technical teams, with a clear passion for developing talent and fostering team success.

  • Exceptional interpersonal skills and a strong drive to achieve results through collaboration and leadership.

NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here.  If you're driven by innovation, love building and mentoring a team and passionate about the opportunity to shape the future of AI hardware and software, we'd love to hear from you! Come join NVIDIA and contribute directly to the technology empowering revolutionary breakthroughs in artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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